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Large-Scale Visual Geo-Localization
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ISBN: 9783319257792

This timely and authoritative volume explores the bidirectional relationship between images and locations. The text presents a comprehensive review of the state of the art in large-scale … Altro …

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Large-Scale Visual Geo-Localization - Zamir, Amir R. (Herausgeber); Hakeem, Asaad (Herausgeber); Szeliski, Richard (Herausgeber); Shah, Mubarak (Herausgeber); Gool, Luc Van (Herausgeber)
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Zamir, Amir R. (Herausgeber); Hakeem, Asaad (Herausgeber); Szeliski, Richard (Herausgeber); Shah, Mubarak (Herausgeber); Gool, Luc Van (Herausgeber):

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2016, ISBN: 331925779X

1st ed. 2016 Gebundene Ausgabe Bildbearbeitung, Bildverarbeitung, Grafik (EDV) / Bildverarbeitung, Computer / PC-Hardware, Datenverarbeitung / Anwendungen / Betrieb, Verwaltung, Kartogr… Altro …

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Large-Scale Visual Geo-Localization - Zamir, Amir R. Hakeem, Asaad Shah, Mubarak Gool, Luc van Szeliski, Richard
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Zamir, Amir R. Hakeem, Asaad Shah, Mubarak Gool, Luc van Szeliski, Richard:
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ISBN: 9783319257792

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2016, ISBN: 9783319257792

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by Amir R. Zamir, PRINT ISBN: 9783319257792 E-TEXT ISBN: 9783319257815 Springer Nature eBook Other pricing structure might be available at vitalsource.com., Springer

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Large-Scale Visual Geo-Localization

This timely and authoritative volume explores the bidirectional relationship between images and locations. The text presents a comprehensive review of the state of the art in large-scale visual geo-localization, and discusses the emerging trends in this area. Valuable insights are supplied by a pre-eminent selection of experts in the field, into a varied range of real-world applications of geo-localization. Topics and features: discusses the latest methods to exploit internet-scale image databases for devising geographically rich features and geo-localizing query images at different scales; investigates geo-localization techniques that are built upon high-level and semantic cues; describes methods that perform precise localization by geometrically aligning the query image against a 3D model; reviews techniques that accomplish image understanding assisted by the geo-location, as well as several approaches for geo-localization under practical, real-world settings.

Informazioni dettagliate del libro - Large-Scale Visual Geo-Localization


EAN (ISBN-13): 9783319257792
ISBN (ISBN-10): 331925779X
Copertina rigida
Copertina flessibile
Anno di pubblicazione: 2016
Editore: Springer International Publishing

Libro nella banca dati dal 2015-10-18T01:45:24+02:00 (Rome)
Pagina di dettaglio ultima modifica in 2023-11-14T06:58:04+01:00 (Rome)
ISBN/EAN: 9783319257792

ISBN - Stili di scrittura alternativi:
3-319-25779-X, 978-3-319-25779-2
Stili di scrittura alternativi e concetti di ricerca simili:
Autore del libro : van gool, mubarak, sze, szeliski, hake, roshan, shah shah
Titolo del libro: visual, computer vision, geo, large scale


Dati dell'editore

Autore: Amir R. Zamir; Asaad Hakeem; Luc Van Gool; Mubarak Shah; Richard Szeliski
Titolo: Advances in Computer Vision and Pattern Recognition; Large-Scale Visual Geo-Localization
Editore: Springer; Springer International Publishing
351 Pagine
Anno di pubblicazione: 2016-07-19
Cham; CH
Stampato / Fatto in
Lingua: Inglese
128,39 € (DE)
131,99 € (AT)
142,00 CHF (CH)
POD
XI, 351 p. 152 illus., 7 illus. in color.

BB; Hardcover, Softcover / Informatik, EDV/Anwendungs-Software; Maschinelles Sehen, Bildverstehen; Verstehen; Context-based Reasoning of GIS and Geo-Reference Data; Data-Driven Discovery of Geo-Informative Features; Geolocalization and Mapping; Geometric Modeling and Reasoning; Visual Indexing and Retrieval of Large-Scale Imagery; Computer Vision; Artificial Intelligence; Geographical Information System; Automated Pattern Recognition; Künstliche Intelligenz; Geographische Informationssysteme (GIS) und Fernerkundung; Mustererkennung; EA; BC

Introduction to Large Scale Visual Geo-Localization.- Part I: Data-Driven Geo-Localization.- Discovering Mid-Level Visual Connections in Space and Time.- Where the Photos Were Taken: Location Prediction by Learning from Flickr Photos.- Cross-View Image Geo-Localization.- Ultra-Wide Baseline Facade Matching for Geo-Localization.- Part II: Semantic Reasoning-Based Geo-Localization.- Semantically Guided Geo-Localization and Modeling in Urban Environments.- Recognizing Landmarks in Large-Scale Social Image Collections.- Part III: Geometric Matching-Based Geo-Localization.- Worldwide Pose Estimation Using 3D Point Clouds.- Exploiting Spatial and Co-Visibility Relations for Image-Based Localization.- 3D Point Cloud Reduction Using Mixed-Integer Quadratic Programming.- Image-Based Large-Scale Geo-Localization in Mountainous Regions.- Adaptive Rendering for Large-Scale Skyline Characterization and Matching.- User-Aided Geo-Localization of Untagged Desert Imagery.- Visual Geo-Localization of Non-Photographic Depictions via 2D-3D Alignment.- Part IV: Real-World Applications.- A Memory Efficient Discriminative Approach for Location-Aided Recognition.- A Real-World System for Image/Video Geo-Localization.- Photo Recall: Using the Internet to Label Your Photos.
Presents in-depth insights from academic and industry leaders in the field Describes analyses on real-world datasets from the military, government and academia Provides the first extensive review of this emerging field, including discussion of state-of-the-art and potential future developments Includes supplementary material: sn.pub/extras

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